The SCEAS System
Navigation Menu

Conferences in DBLP

European Conference on Principles of Data Mining and Knowledge Discovery (PKDD) (pkdd)
1999 (conf/pkdd/1999)

  1. Eamonn J. Keogh, Michael J. Pazzani
    Scaling up Dynamic Time Warping to Massive Dataset. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:1-11 [Conf]
  2. Zbigniew R. Struzik, Arno Siebes
    The Haar Wavelet Transform in the Time Series Similarity Paradigm. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:12-22 [Conf]
  3. Shusaku Tsumoto
    Rule Discovery in Large Time-Series Medical Databases. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:23-31 [Conf]
  4. Hendrik Blockeel, Saso Dzeroski, Jasna Grbovic
    Simultaneous Prediction of Mulriple Chemical Parameters of River Water Quality with TILDE. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:32-40 [Conf]
  5. Elisa Bertino, Barbara Catania, Eleonora Caglio
    Applying Data Mining Techniques to Wafer Manufacturing. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:41-50 [Conf]
  6. Silvia Massa, Pier Paolo Puliafito
    An Application of Data Mining to the Problem of the University Students' Dropout Using Markov Chains. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:51-60 [Conf]
  7. Gou Masuda, Rei Yano, Norihiro Sakamoto, Kazuo Ushijima
    Discovering and Visualizing Attribute Associations Using Bayesian Networks and Their Use in KDD. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:61-70 [Conf]
  8. F. A. El-Mouadib, Jacek Koronacki, Jan M. Zytkow
    Taxonomy Formation by Approximate Equivalence Relations, Revisited. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:71-79 [Conf]
  9. Arthur Flexer
    On the Use of Self-Organizing Maps for Clustering and Visualization. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:80-88 [Conf]
  10. Tapio Elomaa, Juho Rousu
    Speeding Up the Search for Optimal Partitions. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:89-97 [Conf]
  11. Ljupco Todorovski, Saso Dzeroski
    Experiments in Meta-level Learning with ILP. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:98-106 [Conf]
  12. Andrzej Skowron, Hung Son Nguyen
    Boolean Reasoning Scheme with Some Applications in Data Mining. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:107-115 [Conf]
  13. Jirí Ivánek
    On the Correspondence between Classes of Implicational and Equivalence Quantifiers. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:116-124 [Conf]
  14. Fosca Giannotti, Giuseppe Manco
    Querying Inductive Databases via Logic-Based User-Defined Aggregates. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:125-135 [Conf]
  15. Ning Zhong, Yiyu Yao, Setsuo Ohsuga
    Peculiarity Oriented Multi-database Mining. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:136-146 [Conf]
  16. Shusaku Tsumoto
    Knowledge Discovery in Medical Multi-databases: A Rough Set Approach. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:147-155 [Conf]
  17. Rónán Páircéir, Sally I. McClean, Bryan W. Scotney
    Automated Discovery of Rules and Exeptions from Distributed Databases Using Aggregates. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:156-164 [Conf]
  18. Ronen Feldman, Yonatan Aumann, Moshe Fresko, Orly Liphstat, Binyamin Rosenfeld, Yonatan Schler
    Text Mining via Information Extraction. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:165-173 [Conf]
  19. Chris Clifton, Robert Cooley
    TopCat: Data Mining for Topic Identification in a Text Corpus. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:174-183 [Conf]
  20. Marc Sebban, Djamel A. Zighed, S. Di Palma
    Selection and Statistical Validation of Features and Prototypes. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:184-192 [Conf]
  21. Thomas Ågotnes, Henryk Jan Komorowski, Terje Løken
    Taming Large Rule Models in Rough Set Approaches. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:193-203 [Conf]
  22. Dmitry Zelenko
    Optimizing Disjunctive Association Rules. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:204-213 [Conf]
  23. Marc Sebban, Richard Nock
    Contribution of Boosting in Wrapper Models. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:214-222 [Conf]
  24. Richard Nock, Marc Sebban, Pascal Jappy
    Experiments on a Representation-Independent "Top-Down and Prune" Induction Scheme. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:223-231 [Conf]
  25. Robert J. Hilderman, Howard J. Hamilton
    Heuristic Measures of Interestingness. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:232-241 [Conf]
  26. Thomas Wittmann, Johannes Ruhland, Matthias Eichholz
    Enhancing Rule Interestingness for Neuro-fuzzy Systems. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:242-250 [Conf]
  27. Uzi Murad, Gadi Pinkas
    Unsupervised Profiling for Identifying Superimposed Fraud. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:251-261 [Conf]
  28. Markus M. Breunig, Hans-Peter Kriegel, Raymond T. Ng, Jörg Sander
    OPTICS-OF: Identifying Local Outliers. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:262-270 [Conf]
  29. Érick Alphonse, Céline Rouveirol
    Selective Propositionalization for Relational Learning. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:271-276 [Conf]
  30. Yonatan Aumann, Ronen Feldman, Yaron Ben-Yehuda, David Landau, Orly Liphstat, Yonatan Schler
    Circle Graphs: New Visualization Tools for Text-Mining. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:277-282 [Conf]
  31. Henry Brighton, Chris Mellish
    On the Consistency of Information Filters for Lazy Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:283-288 [Conf]
  32. Robert Cattral, Franz Oppacher, Dwight Deugo
    Using Genetic Algorithms to Evolve a Rule Hierarchy. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:289-294 [Conf]
  33. Xiaodong Chen, Ilias Petrounias
    Mining Temporal Features in Association Rules. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:295-300 [Conf]
  34. Filip Coenen, Gilbert Swinnen, Koen Vanhoof, Geert Wets
    The Improvement of Response Modeling: Combining Rule-Induction and Case-Based Reasoning. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:301-308 [Conf]
  35. Richard J. Cole II, Peter W. Eklund
    Analyzing an Email Collection Using Formal Concept Analysis. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:309-315 [Conf]
  36. Piew Datta
    Bisiness Focused Evaluation Methods: A Case Study. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:316-322 [Conf]
  37. Wolfgang Ertel, Manfred Schramm
    Combining Data and Knowledge by MaxEnt-Optimization of Probability Distributions. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:323-328 [Conf]
  38. A. J. Feelders
    Handling Missing Data in Trees: Surrogate Splits or Statistical Imputation. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:329-334 [Conf]
  39. María C. Fernández-Baizán, Ernestina Menasalvas Ruiz, José M. Peña Sánchez, Socorro Millán, Eloina Mesa
    Rough Dependencies as a Particular Case of Correlation: Application to the Calculation of Approximative Reducts. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:335-340 [Conf]
  40. Christina S. Fertig, Alex Alves Freitas, Lucia V. R. Arruda, Celso A. A. Kaestner
    A Fuzzy Beam-Search Rule Induction Algorithm. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:341-347 [Conf]
  41. Zhiwei Fu
    An Innovative GA-Based Decision Tree Classifier in Large Scale Data Mining. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:348-353 [Conf]
  42. Javier Raymundo García-Serrano, José Francisco Martínez Trinidad
    Extension to C-means Algorithm for the Use of Similarity Functions. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:354-359 [Conf]
  43. Claire J. Kennedy, Christophe G. Giraud-Carrier, Douglas W. Bristol
    Predicting Chemical Carcinogenesis Using Structural Information Only. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:360-365 [Conf]
  44. Mikhail V. Kiselev, Sergei M. Ananyan, Sergei B. Arseniev
    LA - A Clustering Algorithm with an Automated Selection of Attributes, wich is Invariant to Functional Transformations of Coordinates. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:366-371 [Conf]
  45. Mika Klemettinen, Heikki Mannila, A. Inkeri Verkamo
    Association Rule Selection in a Data Mining Environment. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:372-377 [Conf]
  46. Arno J. Knobbe, Arno Siebes, Danïel van der Wallen
    Multi-relational Decision Tree Induction. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:378-383 [Conf]
  47. Sergei O. Kuznetsov
    Learning of Simple Conceptual Graphs from Positive and Negative Examples. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:384-391 [Conf]
  48. Wojciech Kwedlo, Marek Kretowski
    An Evolutionary Algorithm Using Multivariate Discretization for Decision Rule Induction. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:392-397 [Conf]
  49. Stéphane Lallich
    ZigZag, a New Clustering Algorithm to Analyze Categorical Variable Cross-Classification Tables. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:398-405 [Conf]
  50. Jinyan Li, Xiuzhen Zhang, Guozhu Dong, Kotagiri Ramamohanarao, Qun Sun
    Efficient Mining of High Confidience Association Rules without Support Thresholds. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:406-411 [Conf]
  51. Churn-Jung Liau, Duen-Ren Liu
    A Logical Approach to Fuzzy Data Analysis. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:412-417 [Conf]
  52. Guido Lindner, Rudi Studer
    AST: Support for Algorithm Selection with a CBR Approach. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:418-423 [Conf]
  53. Stefano Lodi, Luisella Reami, Claudio Sartori
    Efficient Shared Near Neighbours Clustering of Large Metric Data Sets. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:424-429 [Conf]
  54. Stéphane Lopes, Jean-Marc Petit, Farouk Toumani
    Discovery of "Interesting" Data Dependencies from a Workload of SQL Statements. [Citation Graph (1, 0)][DBLP]
    PKDD, 1999, pp:430-435 [Conf]
  55. René MacKinney-Romero, Christophe G. Giraud-Carrier
    Learning from Highly Structured Data by Decomposition. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:436-441 [Conf]
  56. Eddy Mayoraz, Miguel Moreira
    Combinatorial Approach for Data Binarization. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:442-447 [Conf]
  57. Maybin K. Muyeba, John A. Keane
    Extending Attribute-Oriented Induction as a Key-Preserving Data Mining Method. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:448-455 [Conf]
  58. Nikolay I. Nikolaev, Hitoshi Iba
    Automated Discovery of Polynomials by Inductive Genetic Programming. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:456-461 [Conf]
  59. Aleksander Øhrn, Henryk Jan Komorowski
    Diagnosing Acute Appendicitis with Very Simple Classification Rules. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:462-467 [Conf]
  60. Takashi Okada
    Rule Induction in Cascade Model Based on Sum of Squares Decomposition. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:468-474 [Conf]
  61. Michal Pechoucek, Olga Stepánková, Petr Miksovský
    Maintenance of Discovered Knowledge. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:476-483 [Conf]
  62. Clara Pizzuti, Domenico Talia, Giorgio Vonella
    A Divise Initialisation Method for Clustering Algorithms. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:484-491 [Conf]
  63. Thorsten Poddig, Claus Huber
    A Comparison of Model Selection Procedures for Predicting Turning Points in Financial Time Series. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:492-497 [Conf]
  64. Lubos Popelínsky, Tomás Pavelek
    Mining Lemma Disambiguation Rules from Czech Corpora. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:498-503 [Conf]
  65. Chris P. Rainsford, John F. Roddick
    Adding Temporal Semantics to Association Rules. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:504-509 [Conf]
  66. Ricco Rakotomalala, Stéphane Lallich, S. Di Palma
    Studying the Behavior of Generalized Entropy in Induction Trees Using a M-of-N Concept. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:510-517 [Conf]
  67. Zbigniew W. Ras
    Discovering Rules in Information Trees. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:518-523 [Conf]
  68. Andreas Rauber, Dieter Merkl
    Mining Text Archives: Creating Readable Maps to Structure and Describe Document Collections. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:524-529 [Conf]
  69. Johannes Ruhland, Thomas Wittmann
    Neuro-fuzzy Data Mining for Target Group Selection in Retail Banking. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:530-535 [Conf]
  70. Alexandr A. Savinov
    Mining Possibilistic Set-Valued Rules by Generating Prime Disjunctions. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:536-541 [Conf]
  71. Andrzej Skowron, Jaroslaw Stepaniuk
    Towards Discovery of Information Granules. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:542-547 [Conf]
  72. Dominik Slezak, Jakub Wroblewski
    Classification Algorithms Based on Linear Combinations of Features. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:548-553 [Conf]
  73. Myra Spiliopoulou
    Managing Interesting Rules in Sequence Mining. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:554-560 [Conf]
  74. Shinsuke Sugaya, Einoshin Suzuki, Shusaku Tsumoto
    Support Vector Machines for Knowledge Discovery. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:561-567 [Conf]
  75. Ilhan Uysal, H. Altay Güvenir
    Regression by Feature Projections. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:568-573 [Conf]
  76. N. Xiong, Lothar Litz
    Generating Linguistic Fuzzy Rules for Pattern Classification with Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:574-579 [Conf]
  77. Jan Mrázek
    Data Mining for Robust Business Intelligence Solutions. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:580-581 [Conf]
  78. Jean-François Boulicaut
    Query Languages for Knowledge Discovery in Databases. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:582-583 [Conf]
  79. Susanne Köhler, Michael Krieger
    The ESPRIT Project CreditMine and Its Relevance for the Internet Market. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:584-585 [Conf]
  80. Petr Hájek, Jan Rauch
    Logics and Statistics for Association Rules and Beyond Abstract of Tutorial. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:586-587 [Conf]
  81. Myra Spiliopoulou
    Data Mining for the Web. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:588-589 [Conf]
  82. Luc De Raedt, Hendrik Blockeel
    Relational Learning and Inductive Logic Programming Made Easy Abstract of Tutorial. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:590- [Conf]
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002